Senior Software Engineer, Internal AI Ops at Entrata
Lehi, UT 84043, USA -
Full Time


Start Date

Immediate

Expiry Date

21 Nov, 25

Salary

208000.0

Posted On

21 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Aws, Architecture, Integration, Automation Tools, Code Generation, Development Tools, Communication Skills, Azure

Industry

Information Technology/IT

Description

Since its inception in 2003, driven by visionary college students transforming online rent payment, Entrata has evolved into a global leader serving property owners, managers, and residents. Honored with prestigious awards like the Utah Business Fast 50, Silicon Slopes Hall of Fame - Software Company - 2022, Women Tech Council Shatter List, our comprehensive software suite spans rent payments, insurance, leasing, maintenance, marketing, and communication tools, reshaping property management worldwide.
Our 2200+ global team members embody intelligence and adaptability, engaging actively from top executives to part-time employees. With offices across Utah, Texas, India, Israel, and the Netherlands, Entrata blends startup innovation with established stability, evident in our transparent communication values and executive town halls. Our product isn’t just desirable; it’s industry essential. At Entrata, we passionately refine living experiences, uphold collective excellence, embrace boldness and resilience, and prioritize different perspectives, endeavoring to craft a better world to live in.
We develop cutting-edge AI solutions for the U.S. real estate market, helping property managers automate their property solutions. Our flagship products improve efficiency and deliver measurable results. We combine a startup’s agility with a global corporation’s stability. As a Senior Software Engineer, you will design, implement, and optimize automation systems and AI-driven workflows that deliver measurable business impact. You’ll lead the technical design of key automation initiatives, develop scalable solutions, and mentor other engineers in best practices for AI integration and automation.
This is an opportunity to combine software engineering expertise, AI integration, and business process innovation to make a direct impact on operational efficiency across Entrata.

MINIMUM QUALIFICATIONS

  • 5+ years of professional software development experience with a track record of delivering production-grade solutions.
  • Strong proficiency in at least one core programming language (e.g., Python, JavaScript/TypeScript, or related framework).
  • Demonstrable experience leveraging AI-powered development tools (e.g., Cursor AI, GitHub Copilot, Tabnine) for enhanced code generation, refactoring, debugging assistance, and overall development efficiency.
  • Experience with any RDBMS
  • Experience with API development and integrations.
  • Experience with Generative AI tools
  • Demonstrated experience with system design, architecture, and API integrations.
  • Familiarity with AI concepts, prompt engineering, and large language models (LLMs).
  • Strong analytical and problem-solving skills with the ability to design and implement scalable automation systems.
  • Excellent communication skills and ability to collaborate effectively with technical and business stakeholders.

PREFERRED QUALIFICATIONS

  • Experience with cloud architecture (AWS, Azure, or GCP).
  • Hands-on experience with workflow orchestration and automation tools (e.g., Zapier, n8n, Apache Airflow, or RPA frameworks).
  • Advanced knowledge of AI/ML APIs and integration best practices.
    This band covers the full salary range for the role. Your offer within this range will depend on factors like experience, skills, and internal equity.
    Level - P4
Responsibilities
  • Lead the design and development of scalable automation systems that simplify complex business problems.
  • Architect AI-driven solutions, including prompt design, model integration, and workflow automation strategies.
  • Partner with business stakeholders to analyze and re-engineer workflows, identifying high-value automation opportunities.
  • Deliver technical leadership on projects, ensuring best practices in code quality, testing, and deployment.
  • Mentor and guide junior engineers on the team in automation and AI integration techniques.
  • Integrate AI/ML APIs and services to enable intelligent decision-making and operational efficiency.
  • Monitor and optimize system performance, scalability, and reliability across automation pipelines.
  • Stay ahead of industry trends and emerging AI/automation technologies to inform the team’s roadmap.
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